get-embedders
Retrieve embedders configuration for a Meilisearch index to manage vector search settings and semantic capabilities.
Instructions
Get the embedders configuration for an index
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| indexUid | Yes | Unique identifier of the index |
Implementation Reference
- src/tools/vector-tools.ts:94-103 (handler)The handler function that performs the core logic of fetching the embedders configuration for the specified index via the Meilisearch API endpoint.
async ({ indexUid }) => { try { const response = await apiClient.get(`/indexes/${indexUid}/settings/embedders`); return { content: [{ type: "text", text: JSON.stringify(response.data, null, 2) }], }; } catch (error) { return createErrorResponse(error); } } - src/tools/vector-tools.ts:91-93 (schema)Input schema defining the required 'indexUid' parameter as a string.
{ indexUid: z.string().describe("Unique identifier of the index"), }, - src/tools/vector-tools.ts:88-104 (registration)Registration of the 'get-embedders' tool using server.tool(), including name, description, input schema, and handler.
server.tool( "get-embedders", "Get the embedders configuration for an index", { indexUid: z.string().describe("Unique identifier of the index"), }, async ({ indexUid }) => { try { const response = await apiClient.get(`/indexes/${indexUid}/settings/embedders`); return { content: [{ type: "text", text: JSON.stringify(response.data, null, 2) }], }; } catch (error) { return createErrorResponse(error); } } ); - src/index.ts:68-68 (registration)Invocation of registerVectorTools on the main MCP server, which registers the 'get-embedders' tool along with other vector tools.
registerVectorTools(server);